I don’t know how to start, honestly, but I have no drive to take up projects related to my undergrad for various reasons and my projects are all centered around optimization in my field and I don’t have any job experience considering I graduated from civil engineering in 2018.
My interests lie in statistics and machine learning and I am taking courses in programming for certifications. Someday, I want to develop software for my industry. how unconventional is it for a civil engineering graduate to change the field to stats?
I’d like to know some thoughts from more experienced students and researchers out there. Any advice is welcome.
I have completed my master’s degree year ago and took a gap of 2-3 years before committing to the
Ph.D. Right now my financial condition is worse and I don’t want to make any decision in any urgency. My peers are getting enrolled for
Ph.D. and I am getting worried by watching them. I am 27 right now and planning to collect enough money and build my resume strong to get into a decent
Ph.D. program in Europe or Asia. Is my decision wrong ? I need some advice from experienced peoples. Thank you
I want to get into MS in Computer science in the US, specifically in data science. I have a Masters in Physics but my GPA is low. I have scored 51% in my undergrad and 62% in my postgrad. I have cleared my postgrad with 10+ back logs. But I have an international conference paper published in radio astronomy. I have also worked as an intern in web team of leading daily as a science writer. I also have 2+ experience in teaching Physics. I have also volunteered in outreach activities by TIFR, Mumbai. In my undergrad, I have also won prizes in working models related to science. I have an 8.0 score in IELTS and gearing up for my GRE.
what are my chances to get into a decent college?
To make my application better, I have enrolled myself into John Hopkins Data Science program by Coursera and I am also learning Python. Will it help?
The reason I had for backlogs is financial troubles in my family. I was doing odd part-time jobs which caused so many backlogs.
[I am too much afraid to ask this question becuase I think most of you will say that I am too stupid to understand meaning of “Summary of Accomplishments”.]
So, I am applying for a PhD position which is asking for “Summary of Accomplishments” letter. What things should be included in it?
Is it about my accomplishments other than my research work or research work itself is an accomplishment? I was teacher assistant in many courses, it is an accomplishment? Should it be written in a list form or in a paragraph form?
In short, what does “accomplishments” mean when PhD hiring committee ask for it?
I am asking this question here becuase I could not find any appropriate answer from Google.
I completed a terminal master’s in computer science a few years ago and took a job as a programmer. I would like to go back to school and do research in the area of machine learning or computer vision. What should I do to prepare to apply for CS doctoral programs?
There is a PhD project advertised by a professor and I want to avail that position. But that project is not clearly connected with my work in my MS research. (Advertised project is about quantum liquids while my MS work is about topological insulators). However, I know basics of quantum liquids and I find myself very much interested in this field.
Is it a good idea to mention that my work is not connected with this project but my very strong interest in this field is what motivating me to apply for this position in the motivation letter?
What are the chances of getting Ph.D. admission in Law after LLM in National School University, Delhi? What are the colleges one should target?
Also, does University of Washington School of Law offers Ph.D. admission to international students?
If someone gone through this path, please share your experience.
I’m planning on applying to PhD programs in November of this year. I originally was purely looking for Cog-Neuro labs studying PTSD, as it became my main interest during some of my graduate-level courses in undergrad.
During my research into different programs however, I’ve come across several labs (with different focuses) in very good programs that also interest me.
Generally, these other labs that interest me study things such as language and perception. My undergraduate thesis work focused on similar topics.
I’ve been feeling “guilty” that I don’t have this laser-focus on a specific topic that other prospective PhD students seem to have.
Is this more common than it seems?
I am a civil engineering graduate (graduated 2018) trying to break into the analytics field. I graduated from a tier 2 college in my country with an average GPA of 3.0/4.0 (7.5/10.0). I am looking for masters in applied statistics since I have always been interested in mathematics but didn’t have the opportunity to take it up.
I am taking a year off to improve my skill set as well as re-evaluate my options and I realize that I am not interested in Civil engineering and I don’t find it easy to break into this field either without contacts. I have done a project in construction management with AI, optimization techniques, etc. I am good with coding and trying to get certifications for that. But I want to know what skills can make me a strong applicant for a masters in applied statistics with my profile. what should I do?
I am really confused and I will really appreciate any direction I can get.
Suppose, someone is out of school for a while but wants to return to the study, preferably a Ph.D.
Kindly, correct me if I am wrong: as far as I know, GRE is a good tool to demonstrate to the admission committee that someone is not flagging as a student.
What are some alternative ways and what are the ways where GRE-score is not accepted?